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Top 8 Data Quality

SAP Data ServicesSAS Data ManagementSAP Information StewardInformatica Data QualityTalend Data QualityIBM Infosphere Information AnalyzerMelissa Data QualityInformatica Address Verification
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    I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server.
  2. Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools.
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  4. Data insight is the most valuable feature.The data profiling was excellent, as was the ease of generating the dashboards.
  5. The user interface is flexible and the visibility of the data flow is amazing.It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy.
  6. The solution is customizable.It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across dif
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  8. Address parsing. Our other software does not have this functionality.Getting the most up to date address for our members. We like to keep in touch with membership a few times a year so we want to maintain up to date addresses to be sure they receive any information that we mail to them.
  9. The scalability is very high.

Data Quality Articles

reviewer1925439 - PeerSpot reviewer
Manager at HCL Technologies
Jul 26 2022
Why Data Quality Is Important Every organization needs good data quality to ensure the right business decisions are made. These days organizations are adopting new data cleansing strategies to elevate and ensure the quality of enterprise data used for analytical purposes. Data Quality can also...
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Buyer's Guide
Data Quality
July 2022
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: July 2022.
620,068 professionals have used our research since 2012.